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Added 11 days ago
Senior Software Developer in Test (SDET)
Global Relay
Halifax, NS
As a Senior Software Developer in Test, you will be part of a small, highly focused team responsible for delivery of highly scalable and robust services within Global Relay’s platform. You…
Added 11 days ago
RT
Java Developer
Russell Tobin
ON · Ontario, Canada
- $45 to $50 USD / hour
- Contract
Develop, enhance, test, troubleshoot, and support large-scale web applications using Java and Oracle/SQL.
Added 11 days ago
VB
Développeur en automatisation des tests QA
Vaco by Highspring
Montreal, QC
- Full-time
Développer des tests automatisés fonctionnels, d'intégration, de régression et d'API.
Added 11 days ago
C
Applications Development Technology Lead Analyst - Lead Java Developer - Vice President
Citi
Mississauga, ON
- Full-time
The Applications Development Technology Lead Analyst (Lead Java Developer) is a senior-level position responsible for leading the architectural design, implementation, and continuous…
Added 11 days ago
N
Talent Acquisition Sourcer
Nakisa
Montreal, QC
- Full-time
Your portfolio starts with our software developer, IT and technical product roles, alongside outbound searches in Customer Success and Enterprise Sales. You will also own how Nakisa shows…
Added 11 days ago
GR
Senior Software Developer in Test (SDET)
Global Relay
Halifax, NS
- Full-time
As a Senior Software Developer in Test, you will be part of a small, highly focused team responsible for delivery of highly scalable and robust services within Global Relay’s platform. You…
Added 11 days ago
P
Distinguished Enterprise Architect, Flights
Priceline
Toronto, ON
- Full-time
…and third-party technologies - defining integration patterns, API/data contracts, clear ownership boundaries, and…
Added 11 days ago
T
Senior Full Stack .NET Developer
Techso
Montreal, QC
- Full-time
Techso is looking for a Senior Full Stack .NET Developer to help design and develop digital solutions used by our clients across Canada.
Added 11 days ago
Software Application Developer, Generative AI (Gen AI)
BMO
Calgary, AB · GCS
As a Gen AI Software Application Developer at BMO, you will focus on building and integrating Generative AI capabilities into enterprise applications. Working with technology and business…
Added 11 days ago
H
Front End Angular Developer
Highspring
Montreal, QC
- Full-time
Highspring is looking for a Front-End Angular Developer to join a strategic digital transformation initiative within the insurance sector. You will contribute to the creation of a new…
Added 11 days ago
H
Senior Software Developer - Java
Highspring
Montreal, QC
- Full-time
We are seeking a Senior Java Developer to join a Highspring delivery team and contribute to the design, development, and evolution of enterprise-scale backend solutions. This role is ideal…
Added 12 days ago
C
Lead Developer
Capgemini
Mississauga, ON
- $58 to $75 CAD / hour
Implement approved workflow migration designs using Camunda 7, Spring Boot, Java, React, TypeScript, and the Workflow Unified API. Convert review-approved contracts into secure, tested,…
Added 12 days ago
X
Software Developer
Xe.com
Newmarket, ON
- Full-time
…including our Currency Converter, Market Analysis, Currency Data API and quick, easy, secure Money Transfers for individuals and businesses. We leverage technology to deliver these services…
Added 12 days ago
GV
Senior Software Engineer
Great Value Hiring
Canada
- Contract
Strong backend experience in Java, Node.js, Go, Rust, Typescript, Python, C++ or similar
Added 15 days ago
SS
Principal Front-Office Software Technical Trading Engineers VP (API, ETL, Java, C#), VP - Charles River Development
State Street
Toronto, ON
- Full-time
Added 13 days ago
Z
Artificial Intelligence Engineer
Zown
Toronto, ON
- Full-time
The ideal candidate is not simply someone who can integrate an LLM API. You should understand how production backend systems are designed, how distributed services communicate, how data…
Added 13 days ago
RD
Software Engineer
Randstad Digital
Vancouver, BC
- Contract
Backend & API Development: Design, develop, and maintain backend services, APIs, and microservices in cloud-native environments.
Added 13 days ago
TC
Security Researcher Engineer
Tata Consultancy Services
Toronto, ON
- $100,000 to $120,000 CAD / year
- Full-time
Strong hands-on software development skills, particularly Python, Java, Node, Go, C/C++ with experience in additional modern programming languages.
Added 14 days ago
C
Automation Test Lead (Playwright with Java)
Cognizant
Toronto, ON
- $90,000 to $110,000 CAD / year
- Full-time
…leadership. The ideal candidate should possess strong expertise in Java-based automation framework development, modern automation tools, and manual testing practices, along with the ability…
Added 17 days ago
Associate or Vice President Full Stack Engineer
BMO
Toronto, ON · FCP
Programming language proficiency in Python, JavaScript/TypeScript, with familiarity in C#, Scala, or Java
Added 16 days ago
B
Senior Development Lead - (Cloud /Payment Systems)
BMO
Toronto, ON · BMOPLACE
- Full-time
AWS Certified Developer Associate or AWS Certified Solutions Architect Associate.
Added 1 month ago
LC
Senior Technical Manager
Loblaw Companies Limited
Toronto, ON
- Full-time
…This role involves leveraging advanced technologies, including Java/Spring Boot microservices, Google Cloud Platform with Kubernetes, and modern front-end frameworks such as React. Here,…
Added 16 days ago
T
Senior Manager, Tokenized Deposits On-Chain Orchestration / Integration Layer Delivery
TD
Toronto, ON
- Full-time
5+ years of experience developing resilient workflow-based software solutions with Java and Spring, ideally using Microsoft SAGA or similar architectural pattern approach
Added 16 days ago
R
Senior Manager, Back-End Development
RBC
Toronto, ON
- Full-time
…creating high-performance, event-driven microservices using Java and Spring Boot, while developing talent and driving team performance to shape the future of our core payment processing…
Added 14 days ago
C
QA Lead – Automation & Agile
CGI
Toronto, ON
- Full-time
Lead functional, integration, regression, API, and end-to-end testing.

Zown

Artificial Intelligence Engineer

Toronto, ON, Canada

Full-time

Apply About employer

Applications open in a new tab.

Job details

Job type: Full-time
Apply by: Mar 18, 2027
Posting language: English
Posted: Sep 19, 2026

Original job description

Company Description

Zown is a buyer-first real estate platform operating across Canada and the U.S., focused on helping people achieve homeownership faster. Through its innovative model, Zown provides buyers with up to $25,000 toward their home purchase, funded through the commission the company earns, with no repayment required and full ownership from day one. The platform brings together salaried realtors, trusted lenders, 24-hour pre-approvals, and instant home showings to create a streamlined, low-stress homebuying experience. By reducing uncertainty and empowering buyers with transparent support and financial advantages, Zown is reshaping traditional real estate. Team members join a mission-driven environment aimed at putting more control and value in the hands of homebuyers.

About the Role

We are looking for an AI Software Engineer to design, build, and scale intelligent software systems that power our products. This role sits at the intersection of artificial intelligence and backend engineering, requiring strong software engineering fundamentals alongside hands-on experience building production AI applications.

You will work across the full lifecycle of AI-powered features - from designing backend services and data pipelines to integrating and evaluating LLMs, building AI agents and workflows, and operating these systems reliably in production.

The ideal candidate is not simply someone who can integrate an LLM API. You should understand how production backend systems are designed, how distributed services communicate, how data flows through systems, and how to make AI applications reliable, observable, secure, and scalable as well as integrated with existing software systems.

What You’ll Do

AI & Machine Learning Systems

Design and build production-grade applications powered by LLMs and other AI technologies.
Integrate and work with modern AI models, APIs, and inference platforms.
Build AI agents, workflows, tool-calling systems, and multi-step reasoning pipelines.
Develop systems for retrieval-augmented generation (RAG), embeddings, semantic search, and knowledge retrieval.
Design effective prompting, structured outputs, context management, and model orchestration strategies.
Evaluate AI system quality, including accuracy, reliability, latency, and cost.
Build automated evaluation and testing frameworks for AI-powered features.
Stay current with developments in LLMs, agent architectures, model capabilities, and AI infrastructure.

Backend Engineering

Design and develop scalable backend services and APIs that support AI-powered products.
Apply strong software engineering principles to produce maintainable, testable, and well-structured systems.
Design data models, service boundaries, queues, background jobs, and event-driven workflows.
Build systems that handle asynchronous and long-running AI workloads reliably.
Work with relational and non-relational databases, caching systems, object storage, and search infrastructure.
Design for concurrency, fault tolerance, retries, idempotency, and graceful failure.
Optimize application performance, infrastructure utilization, and AI inference costs.
Build secure systems with appropriate authentication, authorization, data protection, and access controls.

Production & Infrastructure

Deploy and operate AI and backend services in cloud environments.
Implement monitoring, logging, tracing, metrics, and alerting for AI-powered systems.
Establish appropriate observability around model performance, latency, token usage, and costs.
Participate in architecture decisions and help establish engineering standards.
Troubleshoot complex production issues across application, infrastructure, data, and AI layers.
Collaborate with frontend, mobile, product, and infrastructure engineers to deliver end-to-end features.

What We’re Looking For

Required

Strong professional experience in backend software engineering.
Strong proficiency in at least one backend programming language such as TypeScript/JavaScript, Python, Go, Java, or similar.
Strong understanding of:

API design and distributed systems

Databases and data modeling

Asynchronous processing and background jobs

Caching and messaging/queue systems

Authentication and authorization

Testing and software quality

Observability and production debugging

Hands-on experience building applications using LLMs or other generative AI technologies.
Experience working with LLM APIs and understanding concepts such as:

Context windows

Tokenization and token usage

Structured outputs

Tool/function calling

Embeddings

Vector search

Prompt design and evaluation

Experience taking software from development into production.
Strong understanding of software architecture and engineering best practices.
Ability to reason about system reliability, scalability, performance, and cost.
Strong problem-solving and debugging skills.

Nice to Have

Experience building AI agents or agentic workflows.
Experience with model evaluation, benchmarking, and AI observability.
Experience with vector databases and semantic search.
Experience with MCP or similar tool/context protocols.
Experience with AI frameworks such as LangChain, LlamaIndex, Vercel AI SDK, or equivalent.
Experience with model providers such as OpenAI, Anthropic, Google, or open-source models.
Experience deploying or operating inference infrastructure.
Experience with Kubernetes, Docker, serverless infrastructure, or containerized workloads.
Experience with AWS, GCP, or Azure.
Experience with event-driven architectures and distributed systems.
Experience building developer-facing AI platforms or internal AI infrastructure.

Engineering Principles

We value engineers who:

Build for production, not demos.
Understand the fundamentals before reaching for abstractions.
Prefer simple, maintainable architectures over unnecessary complexity.
Treat AI as a software engineering problem, not just a prompting problem.
Think about reliability, security, observability, latency, and cost from the beginning.
Can investigate problems independently and understand systems end-to-end.
Write clear, well-tested, maintainable code.
Are comfortable working in ambiguous environments and turning ideas into working products.
Continuously evaluate whether an AI solution is actually the best solution for the problem.

What Success Looks Like

In this role, you will:

Build and ship reliable AI-powered features to production.
Improve the quality, performance, and reliability of our AI systems.
Establish patterns and infrastructure that allow the broader engineering team to build AI features efficiently.
Help evolve our backend architecture to support increasingly sophisticated AI workloads.
Reduce unnecessary AI costs and latency while improving user outcomes.
Contribute to technical architecture and engineering standards across the organization.
Become a key technical contributor in defining how AI is integrated into our products.

Education & Experience

A degree in Computer Science, Software Engineering, or a related field is beneficial but not required. We value demonstrated engineering ability and production experience.

We are particularly interested in candidates who can demonstrate what they have built, shipped, and operated, whether through professional experience, open-source contributions, or substantial personal projects.

Apply About employer

More about this job

Responsibilities

Design and scale production-grade AI software systems, focusing on LLM integration, AI agents, and RAG pipelines. Develop scalable backend services and APIs while ensuring system reliability, observability, and cost-efficiency.

Requirements

Requires strong professional experience in backend software engineering and hands-on experience building applications with generative AI technologies. Proficiency in languages like Python or TypeScript and a deep understanding of distributed systems and API design are essential.

Skills

LLM Integration
Backend Engineering
RAG
AI Agents
API Design
Distributed Systems
Python
TypeScript
Vector Search
Prompt Engineering
Data Modeling
Cloud Infrastructure
System Architecture
Observability
Asynchronous Processing
Semantic Search

Visa sponsorship

Not detected in the job text

Keywords

Artificial Intelligence
LLM
Generative AI
RAG
Vector Databases
LangChain
LlamaIndex
Vercel AI SDK
OpenAI
Anthropic
Google AI
Kubernetes
Docker
AWS
GCP
Azure
TypeScript
JavaScript
Python
Go
Java
Distributed Systems
API Design
Semantic Search
Embeddings
Event-Driven Architecture
Microservices
Real Estate Tech
Backend Engineering
Software Architecture

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